Ravi Das

2.0k citations
55 papers · 1.3k · h-index 21

Impact in

Papers in

Ravi Das

53 papers receiving 1.3k citations

Peers

Ravi Das
Comparison fields: 5 of 87
  • Pharmacology 588
  • Biological Psychiatry 78
  • Behavioral Neuroscience 109
  • Cellular and Molecular Neuroscience 509
  • Cognitive Neuroscience 514
Replace Jodi M. Gilman with:
Jodi M. Gilman United States
Joseph P. Schacht United States
Gary B. Kaplan United States
Lauri Tuominen Finland
Brandon S. Bentzley United States
Patrick D. Skosnik United States
Peter Manza United States
Robbert‐Jan Verkes Netherlands
Louis Trevisan United States
Joshua L. Gowin United States
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Citations per field
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Citations per year

Countries citing papers authored by Ravi Das

Since Specialization
Citations

This map shows the geographic impact of Ravi Das's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ravi Das with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ravi Das more than expected).

Fields of papers citing papers by Ravi Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ravi Das. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ravi Das. The network helps show where Ravi Das may publish in the future.

Co-authors

The 25 scholars most cited alongside Ravi Das, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ravi Das Line = papers co-authored together Ravi Das links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013147
2 2013139
3 201691
4 201883
5 201980
6 201571
7 201855
8 201544
9 202137
10 201137
11 201532
12 201631
13 201131
14 201531
15 201531
16 201727
17 201227
18 200926
19 201226
20 202224

About Ravi Das

Ravi Das is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Pharmacology, Clinical Psychology and Experimental and Cognitive Psychology, having authored 55 papers that have together received 1.3k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (23 papers), Neurotransmitter Receptor Influence on Behavior (14 papers), Neuroscience and Neuropharmacology Research (10 papers), Cannabis and Cannabinoid Research (7 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (7 papers), Tryptophan and brain disorders (6 papers), Neural and Behavioral Psychology Studies (5 papers) and Treatment of Major Depression (5 papers). The work is most often cited by research in Pharmacology (588 citations), Biological Psychiatry (78 citations), Behavioral Neuroscience (109 citations), Cellular and Molecular Neuroscience (509 citations) and Cognitive Neuroscience (514 citations). Ravi Das has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Sunjeev K. Kamboj, Celia J. A. Morgan, H. Valerie Curran, Tom P. Freeman, Will Lawn, Valerie H. Curran, Katie Walsh, Chandni Hindocha, Michael E. Saladin and Vivek Gupta. Their work appears in journals such as Psychopharmacology, Psychological Medicine, The International Journal of Neuropsychopharmacology, Journal of Psychopharmacology and European Neuropsychopharmacology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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